2025-2029年全球能源管理人工智慧市场

全球能源管理领域的人工智慧 (AI) 市场预计在 2024-2029 年预测期内将以 20.8% 的复合年增长率成长，达到 160.642 亿美元。

本报告对全球能源管理领域的人工智慧市场进行了全面分析，包括市场规模和预测、趋势、成长要素和挑战，以及对约 25 家公司的供应商分析。

本报告对当前市场格局、最新趋势和驱动因素以及整体市场环境进行了最新分析，其驱动因素包括电网现代化和稳定性需求、全球脱碳和永续性努力以及提高营运效率和降低成本的动力。

本研究采用客观的方法，结合一手和二手讯息，包括来自主要行业相关人员的意见。报告包含对主要企业的分析、全面的市场规模数据、区域細項分析以及供应商格局。报告提供历史数据和预测数据。

该研究指出，生成式人工智慧在高阶模拟和优化领域的广泛应用是未来几年推动全球能源管理人工智慧市场成长的关键因素之一。此外，人工智慧驱动的数位双胞胎技术在预测性和指导性资产管理方面的兴起，以及对可解释人工智慧（XAI）在提高透明度和信任度方面日益增长的关注，预计也将为市场带来巨大的需求。

目录

第一章执行摘要

第二章 Technavio 分析

• 价格、生命週期、顾客购买篮、采用率和购买标准分析
• 投入与差异化因素的重要性
• 混淆来源
• 驱动因素和挑战的影响

第三章 市场情势

• 市场生态系统
• 市场特征
• 价值链分析

第四章 市场规模

• 市场定义
• 市场区隔分析
• 2024年市场规模
• 2024-2029年市场展望

第五章 市场规模表现

• 2019-2023年全球能源管理领域人工智慧市场
• 应用细分市场分析 2019-2023
• 2019-2023年技术细分市场分析
• 2019-2023年最终用户细分市场分析
• 2019-2023年区域细分市场分析
• 2019-2023年国家细分市场分析

第六章五力分析

• 五力分析概述
• 买方的议价能力
• 供应商的议价能力
• 新进入者的威胁
• 替代品的威胁
• 竞争威胁
• 市场状况

第七章 按应用程式进行市场区隔

• 比较：透过应用
• 可再生能源管理
• 需求预测
• 网格管理
• 优化能源消耗
• 预测性维护
• 按应用分類的市场机会

8. 按技术分類的市场细分

• 比较：按技术
• 机器学习
• 预测分析
• 自然语言处理（NLP）
• 电脑视觉
• 科技市场机会

9. 按最终用户进行市场区隔

• 比较：按最终用户
• 公共产业
• 製造业
• 住宅
• 零售
• 按最终用户分類的市场机会

第十章 客户情况

第十一章 区域情势

• 区域细分
• 区域比较
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲
  • 印尼
• 北美洲
  • 美国
  • 加拿大
  • 墨西哥
• 欧洲
  • 德国
  • 法国
  • 英国
  • 荷兰
  • 义大利
  • 西班牙
• 南美洲
  • 巴西
  • 阿根廷
  • 哥伦比亚
• 中东和非洲
  • 阿拉伯聯合大公国
  • 沙乌地阿拉伯
  • 以色列
  • 南非
  • 土耳其
• 各区域的市场机会

第十二章：驱动因素、挑战与机会

• 市场驱动因素
• 市场挑战
• 驱动因素和挑战的影响
• 市场机会

第十三章 竞争格局

• 概述
• 竞争格局
• 令人困惑的局面
• 产业风险

第十四章 竞争分析

• 公司简介
• 企业排名指数
• 公司市场定位
• ABB Ltd.
• Alpiq Holding AG
• Amazon Web Services Inc.
• Atos SE
• BIDGELY INC.
• C3.ai Inc.
• GE Vernova Inc.
• Honeywell International Inc.
• IBM Corp.
• Microsoft Corp.
• Oracle Corp.
• Schneider Electric SE
• Siemens AG
• Tesla Inc.
• Vestas Wind Systems AS

第十五章附录

The global AI in energy management market is forecasted to grow by USD 16064.2 mn during 2024-2029, accelerating at a CAGR of 20.8% during the forecast period. The report on the global AI in energy management market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by imperative for grid modernization and stability, global push for decarbonization and sustainability, drive for enhanced operational efficiency and cost reduction.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Technavio's global AI in energy management market is segmented as below:

By Application

• Renewable energy management
• Demand forecasting
• Grid management
• Energy consumption optimization
• Predictive maintenance

By Technology

• Machine learning
• Predictive analytics
• NLP
• Computer vision

By End-User

• Utilities
• Manufacturing
• Residential
• Retail

Geography

• APAC
  • China
  • India
  • Japan
  • South Korea
  • Australia
  • Indonesia
• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • UK
  • The Netherlands
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Middle East and Africa
  • UAE
  • South Africa
  • Turkey
• Rest of World (ROW)

This study identifies the proliferation of generative AI for advanced simulation and optimization as one of the prime reasons driving the global AI in energy management market growth during the next few years. Also, rise of ai-powered digital twins for predictive and prescriptive asset management and increasing focus on explainable AI (xai) for transparency and trust will lead to sizable demand in the market.

The report on the global AI in energy management market covers the following areas:

• Global AI in energy management market sizing
• Global AI in energy management market forecast
• Global AI in energy management market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global AI in energy management market vendors that include ABB Ltd., Alpiq Holding AG, Amazon Web Services Inc., Atos SE, BIDGELY INC., C3.ai Inc., Enel Spa, GE Vernova Inc., Grid4C, Honeywell International Inc., IBM Corp., Innowatts Inc., iRasus, Microsoft Corp., Oracle Corp., Schneider Electric SE, Siemens AG, Tesla Inc., Vestas Wind Systems AS. Also, the global AI in energy management market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

• 1.1 Market overview
  • Executive Summary - Chart on Market Overview
  • Executive Summary - Data Table on Market Overview
  • Executive Summary - Chart on Global Market Characteristics
  • Executive Summary - Chart on Market by Geography
  • Executive Summary - Chart on Market Segmentation by Application
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by End-user
  • Executive Summary - Chart on Incremental Growth
  • Executive Summary - Data Table on Incremental Growth
  • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

• 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
• 2.2 Criticality of inputs and Factors of differentiation
• 2.3 Factors of disruption
• 2.4 Impact of drivers and challenges

3 Market Landscape

• 3.1 Market ecosystem
• 3.2 Market characteristics
• 3.3 Value chain analysis

4 Market Sizing

• 4.1 Market definition
• 4.2 Market segment analysis
  • Market segments
• 4.3 Market size 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI In Energy Management Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI In Energy Management Market 2019 - 2023 ($ million)
• 5.2 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.3 Technology segment analysis 2019 - 2023
  • Historic Market Size - Technology Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Application

• 7.1 Market segments
• 7.2 Comparison by Application
• 7.3 Renewable energy management - Market size and forecast 2024-2029
• 7.4 Demand forecasting - Market size and forecast 2024-2029
• 7.5 Grid management - Market size and forecast 2024-2029
• 7.6 Energy consumption optimization - Market size and forecast 2024-2029
• 7.7 Predictive maintenance - Market size and forecast 2024-2029
• 7.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

8 Market Segmentation by Technology

• 8.1 Market segments
• 8.2 Comparison by Technology
• 8.3 Machine learning - Market size and forecast 2024-2029
• 8.4 Predictive analytics - Market size and forecast 2024-2029
• 8.5 NLP - Market size and forecast 2024-2029
• 8.6 Computer vision - Market size and forecast 2024-2029
• 8.7 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Utilities - Market size and forecast 2024-2029
• 9.4 Manufacturing - Market size and forecast 2024-2029
• 9.5 Residential - Market size and forecast 2024-2029
• 9.6 Retail - Market size and forecast 2024-2029
• 9.7 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Customer Landscape

• 10.1 Customer landscape overview
  • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 APAC - Market size and forecast 2024-2029
  • 11.3.1 China - Market size and forecast 2024-2029
  • 11.3.2 India - Market size and forecast 2024-2029
  • 11.3.3 Japan - Market size and forecast 2024-2029
  • 11.3.4 South Korea - Market size and forecast 2024-2029
  • 11.3.5 Australia - Market size and forecast 2024-2029
  • 11.3.6 Indonesia - Market size and forecast 2024-2029
• 11.4 North America - Market size and forecast 2024-2029
  • 11.4.1 US - Market size and forecast 2024-2029
  • 11.4.2 Canada - Market size and forecast 2024-2029
  • 11.4.3 Mexico - Market size and forecast 2024-2029
• 11.5 Europe - Market size and forecast 2024-2029
  • 11.5.1 Germany - Market size and forecast 2024-2029
  • 11.5.2 France - Market size and forecast 2024-2029
  • 11.5.3 UK - Market size and forecast 2024-2029
  • 11.5.4 The Netherlands - Market size and forecast 2024-2029
  • 11.5.5 Italy - Market size and forecast 2024-2029
  • 11.5.6 Spain - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 UAE - Market size and forecast 2024-2029
  • 11.7.2 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.3 Israel - Market size and forecast 2024-2029
  • 11.7.4 South Africa - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Imperative for grid modernization and stability
  • Global push for decarbonization and sustainability
  • Drive for enhanced operational efficiency and cost reduction
• 12.2 Market challenges
  • Cybersecurity vulnerabilities and data privacy concerns
  • Integration with legacy infrastructure and data interoperability
  • Workforce skills gap and talent shortage
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Proliferation of generative AI for advanced simulation and optimization
  • Rise of AI-powered digital twins for predictive and prescriptive asset management
  • Increasing focus on explainable AI (XAI) for transparency and trust

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 ABB Ltd.
  • ABB Ltd. - Overview
  • ABB Ltd. - Business segments
  • ABB Ltd. - Key news
  • ABB Ltd. - Key offerings
  • ABB Ltd. - Segment focus
  • SWOT
• 14.5 Alpiq Holding AG
  • Alpiq Holding AG - Overview
  • Alpiq Holding AG - Product / Service
  • Alpiq Holding AG - Key offerings
  • SWOT
• 14.6 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.7 Atos SE
  • Atos SE - Overview
  • Atos SE - Business segments
  • Atos SE - Key news
  • Atos SE - Key offerings
  • Atos SE - Segment focus
  • SWOT
• 14.8 BIDGELY INC.
  • BIDGELY INC. - Overview
  • BIDGELY INC. - Product / Service
  • BIDGELY INC. - Key offerings
  • SWOT
• 14.9 C3.ai Inc.
  • C3.ai Inc. - Overview
  • C3.ai Inc. - Product / Service
  • C3.ai Inc. - Key news
  • C3.ai Inc. - Key offerings
  • SWOT
• 14.10 GE Vernova Inc.
  • GE Vernova Inc. - Overview
  • GE Vernova Inc. - Business segments
  • GE Vernova Inc. - Key offerings
  • GE Vernova Inc. - Segment focus
  • SWOT
• 14.11 Honeywell International Inc.
  • Honeywell International Inc. - Overview
  • Honeywell International Inc. - Business segments
  • Honeywell International Inc. - Key news
  • Honeywell International Inc. - Key offerings
  • Honeywell International Inc. - Segment focus
  • SWOT
• 14.12 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.13 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.14 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 14.15 Schneider Electric SE
  • Schneider Electric SE - Overview
  • Schneider Electric SE - Business segments
  • Schneider Electric SE - Key news
  • Schneider Electric SE - Key offerings
  • Schneider Electric SE - Segment focus
  • SWOT
• 14.16 Siemens AG
  • Siemens AG - Overview
  • Siemens AG - Business segments
  • Siemens AG - Key news
  • Siemens AG - Key offerings
  • Siemens AG - Segment focus
  • SWOT
• 14.17 Tesla Inc.
  • Tesla Inc. - Overview
  • Tesla Inc. - Business segments
  • Tesla Inc. - Key news
  • Tesla Inc. - Key offerings
  • Tesla Inc. - Segment focus
  • SWOT
• 14.18 Vestas Wind Systems AS
  • Vestas Wind Systems AS - Overview
  • Vestas Wind Systems AS - Business segments
  • Vestas Wind Systems AS - Key offerings
  • Vestas Wind Systems AS - Segment focus
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations